Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete
The construction industry is facing challenges from the hazardous nature of Ordinary
Portland Cement (OPC) production as one of the main contributors to global warming and …
Portland Cement (OPC) production as one of the main contributors to global warming and …
A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand
Ensemble learning (EL) has gained popularity in recent investigations because of its higher
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA
Abstract The Externally Bonded Reinforcement on Grooves (EBROG) method represents an
advancement in externally bonded reinforcement (EBR) techniques, specifically addressing …
advancement in externally bonded reinforcement (EBR) techniques, specifically addressing …
Evaluating strength properties of Eco-friendly Seashell-Containing Concrete: Comparative analysis of hybrid and ensemble boosting methods based on …
In the dynamic field of concrete technology, a discernible shift towards sustainability is
evident, prompted by the need to minimize reliance on natural resources and reduce the …
evident, prompted by the need to minimize reliance on natural resources and reduce the …
[HTML][HTML] Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models
The construction sector is a major contributor to global greenhouse gas emissions. Using
recycled and waste materials in concrete is a practical solution to address environmental …
recycled and waste materials in concrete is a practical solution to address environmental …
Effective economic combination of waste seashell and river sand as fine aggregate in green concrete
GO Bamigboye, UE Okechukwu, DO Olukanni… - Sustainability, 2022 - mdpi.com
This research elucidates the idea of eco-friendly concrete and highlights the benefits
attainable from its effective practice towards sustainable construction materials. The design …
attainable from its effective practice towards sustainable construction materials. The design …
Machine learning-based estimation of the compressive strength of self-compacting concrete: A multi-dataset study
ND Hoang - Mathematics, 2022 - mdpi.com
This paper aims at performing a comparative study to investigate the predictive capability of
machine learning (ML) models used for estimating the compressive strength of self …
machine learning (ML) models used for estimating the compressive strength of self …
Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization
The assessment of the shear modulus (G) of municipal solid waste (MSW) and leachate-
contaminated soil (LCS) is of vital importance for landfill engineering investigation and …
contaminated soil (LCS) is of vital importance for landfill engineering investigation and …
Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using a novel regularized deep learning approach
H Nhat-Duc - Multiscale and Multidisciplinary Modeling, Experiments …, 2023 - Springer
The use of ground granulated blast furnace slag (GGBFS) helps reduce carbon dioxide
generated during the manufacturing of ordinary Portland cement. The compressive strength …
generated during the manufacturing of ordinary Portland cement. The compressive strength …